Abstract
For generating solutions to vector optimization problems via algorithms based on a scalarization, the monotonicity properties of the scalarizing functionals are important. In this chapter, we present Benson’s Outer Approximation Algorithm that uses a scalarization by means of translation invariant functionals. Furthermore, we present proximal-point algorithms as well as an adaptive algorithm for solving vector optimization problems where translation invariant functionals are involved. We show that a scalarization by means of translation invariant functionals is useful for deriving an algorithm for solving set-valued optimization problems. Finally, we derive algorithms for solving vector optimization problems with variable domination structure using an extension of translation invariant functionals.
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Tammer, C., Weidner, P. (2020). Algorithms for the Solution of Optimization Problems. In: Scalarization and Separation by Translation Invariant Functions. Vector Optimization. Springer, Cham. https://doi.org/10.1007/978-3-030-44723-6_13
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DOI: https://doi.org/10.1007/978-3-030-44723-6_13
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Publisher Name: Springer, Cham
Print ISBN: 978-3-030-44721-2
Online ISBN: 978-3-030-44723-6
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